Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
Anastasios A. Tsiatis, Marie Davidian
TL;DR
This paper critically examines the concept of double robustness in statistical estimation, comparing various strategies for estimating population means from incomplete data to clarify their assumptions and effectiveness.
Contribution
It provides a detailed comparison of alternative double robust methods, clarifying their theoretical properties and practical performance in handling missing data.
Findings
Double robust methods can be consistent under certain conditions.
Some strategies outperform others in specific missing data scenarios.
Clarifies misconceptions about the robustness of different estimators.
Abstract
Comment on ``Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data'' [arXiv:0804.2958]
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